1 |
Kim, M. J., Sung, K. I., Kim, B. W., Peng, J. L., Hyeon, D. H., Lee, B. H., Kim, E. J., Jo, M. H., Lim, Y. C. and Kim, K. D. (2014). Prediction of Italian Ryegrass Yield Affecting Climate and Soil. Proceedings of 2014 Annual Congress of Korean Society of Animal Sciences and Technology, 204.
|
2 |
Lee, J. W., Jang, Y. J., Ko, K. K. and Park, J. K. (2013). Effects of Meteorological Elements in the Production of Food Crops: Focused on Regression Analysis using Panel Data, Journal of Environmental Science International, 22, 1171-1180.
과학기술학회마을
DOI
ScienceOn
|
3 |
Mullen, M. R., Milne, G. R. and Doney, P. M. (1995). An International Marketing Application of Outlier Analysis for Structural Equations: A Methodological Note, Journal of International Marketing, 3, 45-62.
|
4 |
Schlenker, W. and Roberts, M. J. (2009). Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change, Proceeding of the National Academy of sciences, 106, 15594-15598.
DOI
|
5 |
Seo, S. (2009). Development of new varieties and production of forages in Korea, Journal of The Korean Society of Grassland and Forage Science, 29, 1-10.
DOI
ScienceOn
|
6 |
Shin, C. N., Ko, K. H. and Kim, J. D. (2012). Agronomic Characteristics and Forage Productivity of Italian Ryegrass(Lolium multiflorum Lam.) Cultivar, Journal of The Korean Society of Grassland and Forage Science, 32, 229-236.
DOI
|
7 |
Sung, K. I., Kim, B. W., Peng, J. L., Hyeon, D. H., Lee, B. H., Kim, E. J., Jo, M. H., Lim, Y. C., Kim, K. D. and Kim, M. J. (2014). Prediction of Italian Ryegrass Yield Affecting Climate Variables. Proceedings of 2014 Annual Congress of Korean Society of Animal Sciences and Technology, 203.
|
8 |
Yuan K. H., Chan W. and Bentler P. M. (2000). Robust transformation with application to structural equation modelling, British Journal of Mathematical and Statistical Psychology, 53, 31-50.
DOI
|
9 |
Arbuckle, J. (2005). Amos 6.0 user's guide, Marketing Department, SPSS incorporated.
|
10 |
Bollen, K. A. (1989). A New Incremental Fit Index for General Structural Equation Models, Sociological Methods and Research, 17, 306-316.
|
11 |
Browne, M. W. (1984). Asymptotically distribution-free methods for the analysis of covariance structures, British Journal of Mathematical and Statistical Psychology, 37, 62-83.
DOI
ScienceOn
|
12 |
Gao, S., Mokhtarian, P.L. and Johnston, R.A. (2008). Nonnormality of data in structural equation models, Transportation Research Record: Journal of the Transportation Research Board, 2082, 116-124.
DOI
|
13 |
Goldberger, A. S. (1973). Structural equation models: An overview. In Structural Equation Models in the Social Sciences, Seminar Press, New York.
|
14 |
Hooper D., Coughlan, J. and Mullen, M. R. (2008). Structural Equation Modelling: Guidelines for Determining Model Fit, Electronic Journal of Business Research Methods, 6, 53-60.
|
15 |
Hox, J. J. and Bechger T. M. (1998). An Introduction to Structural Equation Modeling, Family Science Review, 11, 354-373.
|
16 |
Hu, L. T., Bentler, P. M. and Hoyle, R. H. (1995). Structural equation modeling: Concepts, issues, and applications, Evaluating Model Fit, Sage, London.
|